Smart applications of the Internet of Things are improving the performance of\udbuildings, reducing energy demand. Local and smart networks, soft computing\udmethodologies, machine intelligence algorithms and pervasive sensors are some of the basics\udof energy optimization strategies developed for the benefit of environmental sustainability\udand user comfort. This work presents a distributed sensor-processor-communication\uddecision-making architecture to improve the acquisition, storage and transfer of thermal\udenergy in buildings. The developed system is implemented in a near Zero-Energy Building\ud(nZEB) prototype equipped with a built-in thermal solar collector, where optical properties\udare analysed; a low enthalpy geothermal accumulation system, segmented in different\udtemperature zones; and an envelope that includes a dynamic thermal barrier. An intelligent\udcontrol of this dynamic thermal barrier is applied to reduce the thermal energy demand\ud(heating and cooling) caused by daily and seasonal weather variations. Simulations and\udexperimental results are presented to highlight the nZEB thermal energy reduction.
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